Sr. QA Engineer, Analytics Platform
Description For Sr. QA Engineer, Analytics Platform
Tesla is seeking a Senior QA Engineer to join their Analytics Platform team, focusing on their state-of-the-art data engineering and analytics platform for business and operational intelligence. This role is crucial in ensuring the quality and reliability of Tesla's data platform that handles enormous amounts of information critical for data-driven decision making.
The position offers an exciting opportunity to work with cutting-edge technology in the automotive and AI sectors, where you'll be responsible for developing and implementing comprehensive testing strategies for both UI and API components. You'll work with modern testing frameworks and tools, utilizing Python and SQL skills to create robust automation frameworks.
As a Senior QA Engineer, you'll collaborate with cross-functional teams to improve and maintain testing infrastructure, implement CI/CD pipelines, and ensure the highest quality standards for Tesla's analytics platform. The role requires a blend of technical expertise in test automation, database testing, and API testing, along with strong analytical and communication skills.
The position comes with competitive compensation ranging from $88,000 to $162,000 annually, plus additional cash and stock awards. Tesla offers comprehensive benefits including medical, dental, and vision coverage with $0 payroll deduction options, 401(k) with employer match, and various family-friendly benefits. The company's location in the San Francisco Bay Area provides access to a dynamic tech ecosystem while working for one of the world's most innovative automotive and clean energy companies.
This role is perfect for a seasoned QA professional who is passionate about quality assurance, automation, and data analytics, and wants to contribute to Tesla's mission of accelerating the world's transition to sustainable energy.
Responsibilities For Sr. QA Engineer, Analytics Platform
- Conduct functional, integration and automated testing
- Develop and execute automation planning and scripting strategy
- Design and develop reusable test frameworks for UI and API testing
- Manage integration of automated test scripts with test management tools
- Collaborate in automation efforts and work with different teams
- Set up and maintain pipelines for test execution
Requirements For Sr. QA Engineer, Analytics Platform
- Experience with test frameworks (Selenium Web driver, cypress, JMeter)
- Strong understanding of backend services and API testing methodologies
- Good knowledge of performing UI Testing
- Solid skills in SQL/MySQL database testing
- Proficiency in Python for test automation
- Experience with CI/CD pipelines
- Familiarity with Agile development methodologies
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to adapt to new technologies including AI for QA
Benefits For Sr. QA Engineer, Analytics Platform
- Aetna PPO and HSA plans with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental and vision plans with $0 paycheck contribution
- Company Paid HSA Contribution
- Healthcare and Dependent Care FSA
- 401(k) with employer match
- Employee Stock Purchase Plans
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time
- Back-up childcare and parenting support
- Commuter benefits
- Employee discounts and perks program
